CN104040570A - Load profile management and cost sensitivity analysis - Google Patents
Load profile management and cost sensitivity analysis Download PDFInfo
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- CN104040570A CN104040570A CN201280054017.4A CN201280054017A CN104040570A CN 104040570 A CN104040570 A CN 104040570A CN 201280054017 A CN201280054017 A CN 201280054017A CN 104040570 A CN104040570 A CN 104040570A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/80—Management or planning
- Y02P90/82—Energy audits or management systems therefor
Abstract
A system, computer-implemented method, and a computer program product are provided for load profile management and cost sensitivity analysis. A baseline load profile is input via a user interface, wherein the baseline load profile is based on a set of equipment load profiles. A target load profile is generated based on a selected modification of the baseline load profile. The target load profile is compared with the baseline load profile. The comparison of the target load profile and the baseline load profile is output via the user interface.
Description
The cross reference of related application
The application is non-provisional application, the name that requires Burke to submit on September 2nd, 2011 is called " for the method and apparatus of load profiles management and cost sensitivity analysis ", sequence number is 61/530, the right of priority of 646 U.S. Provisional Patent Application, it is incorporated herein by reference with regard to each side.
Technical field
Generality of the present invention relates to energy management, more specifically relates to a kind of system, computer implemented method and computer program for load profiles (load profile) management and cost sensitivity analysis.
Background technology
Facilities management person can attempt identification, revises and implement load profiles: a kind of electrical engineering term of the curve changing with respect to the time for electrical load, its target cost that represents a facility reduces.This facilities management person utilizes for example cost target to start.Then facilities management person can consider to consume the large number quipments of the energy and guess which equipment may have appreciable impact and therefore form remarkable Cost Driver total energy load.Once which equipment facilities management person has guessd out for obvious drive energy cost, this facilities management person faces the challenge of the load profiles of each equipment working of combination.For example, facilities management person may wish to combine the load profiles of all devices in all HVAC unit or certain layer or department.Similarly, facilities management person may wish to create to facility load profiles all in this facility or that the selectable equipment of institute is made an explanation.This is usually processing dull and consuming time for a variety of reasons.Even if gauge is in place on desirable equipment, entity is installed and also may not comprised from the data splitting of gauge or from for combining the data splitting for the device of the gauge reading of designated equipment.In addition the software that, is used for retrieving gauge data possibly cannot be combined into gauge data preferred logical collection.
The equipment of facilities management person for selecting, such as the equipment believed as remarkable Cost Driver of all facilities and equipments or selection, creates typical case or baseline load profile.Baseline load profile is the expression of the actual energy expenditure of the continuous data based on selected equipment.
Then, in the process of the energy cost that the equipment of appointment is associated in attempting to reduce baseline load profile, facilities management person must utilize the apparatus of load of modification to create targeted loads profile, is also new modeling load profiles.Compare with baseline load profile, targeted loads profile can be the modeling load profiles modifying in energy expenditure.This processing may be very consuming time and dull, because facilities management person cannot predict cost impact or cost sensitivity that load profiles changes easily, thereby needs facilities management person to make valid conjecture.Then facilities management person repeats this processing, and the load that configures relevant device with iterative processing is until realize target load profiles or target cost reduction.
Finally, once this has been done or entity device has been made to targeted loads profile, change, facilities management person's a complete charging phase of wait is to examine the impact causing on cost due to the change that load profiles is made.If cost target is not yet reached, facilities management person starts described processing again.Once the charging phase finishes, can whether significantly be less than potential saving to the cost of implementation goal load profiles in this facility and make definite to guarantee the enforcement of targeted loads profile.
This whole processing is time-consuming but also fallibility not only, and usually too risk to such an extent as to cannot carry out during the working time, because targeted loads profile may have negative effect to producing and selling.Further, described analysis only represents temporal single snapshot, and can not all include all correlated variabless in consideration.For more advanced enterprise, facilities management person can export mass energy load data to energy domain analysis person simply, then this energy domain analysis person targeted loads profile that lower work is optimized with establishment online.This processing is still time-consuming, and shortage repeatability also lacks scale.
Summary of the invention
Provide a kind of system, computer implemented method and computer program, for load profiles management and cost sensitivity analysis.Described system makes user can create the targeted loads profile of facility and determines and at facility place, implement this targeted loads profile cost efficient whether for this facility, and reconfigure equipment or cost plenty of time without cost substantial contribution, waits until the end of any resource provider (utility provider) metering period.
Described system provides user interface to realize establishment or the input of baseline load profile based on one group of apparatus of load profile, and the establishment based on described baseline load profile realize target load profiles.For example, the normal running of the HVAC equipment of the refrigeration plant that user is facility and facility creates baseline load profile, and reconfigures based on revising the proposal of described baseline load profile establishment targeted loads profile for facility refrigeration plant and facility HVAC equipment.Although the load profiles of facility can be in conjunction with many load profiles, the example of this simplification is only in conjunction with two kinds of load profiles.
Baseline load profile and described targeted loads profile described in described systematic comparison.For example, described system is made comparisons to described targeted loads profile and described baseline load profile, guarantees that the operation of facility is unaffected.Described system is via the comparative result of user interface export target load profiles and baseline load profile.For example, the comparative result of described system based target load profiles and baseline load profile based on exporting cost variance such as the resource provider information of complicated time-division charge rate even load profile.It is the targeted loads profile that creates of this facility cost efficient whether for this facility that cost variance makes system user can determine to implement user, and reconfigure equipment or cost plenty of time without cost substantial contribution, waits until the end of any resource provider metering period.
Accompanying drawing explanation
The diagram of preferred embodiment of the present disclosure invests herein, so that can be better and understand more fully embodiment of the present disclosure:
Fig. 1 represents sample system of the present disclosure;
Fig. 2 represents the sample framework that user interface of the present disclosure illustrates;
Fig. 3 represents another sample framework that user interface of the present disclosure illustrates; And
Fig. 4 represents Sample Method of the present disclosure.
Embodiment
As used herein, facility territory (Facility Domain) refers to one or more facilities, building, workshop (plant), operating platform of consuming the energy etc., electric power expenditure in these facilities, and especially relevant to these facilities professional technique, such as the knowledge relevant with architectural control, physical assets, electric power expenditure, power consumption device and monitoring tools.Client has relevant facility territory professional technique by outfit and can define or identify personnel's (or employee or contractor) of facility performance index (performance indicator), and is called as facilities management person.
As used herein, energy territory refers to that the energy consumption, expenditure, expenditure distribution, energy consumption behavior, the energy of business department (business sector) are measured, the energy is used and measures, Key Performance Indicator etc., and specific to knowledge and the professional technique of these information.Energy domain analysis person (or abbreviation " analyst ") is the personnel that have relevant energy territory professional technique and can define or identify energy expenditure performance index.
As used herein, business domains refers to business or client operating, income, earnings target, budget, planning, cost, cost objective etc., and the knowledge relevant with business and professional technique.Client can define being equipped with or business domains expert's (or employee or contractor) of identification services performance index.Energy resources management used herein refers to other managing power consumption of business domains level and accessory substance thereof.Being to be understood that various experts and the analyst of indication can be one or more personnel here, can be employee or contractor, and single personnel can have at one and using the qualification of co-domain as expert.
As used herein, equipment refers to one or more energy-dissipating devices, such as heating, ventilation and air-conditioning (HVAC) system, water pump, compressor, engine, illuminator etc.Term equipment can mean several equipment of one piece apparatus or a logical groups.For example, equipment can refer to one group of electronic installation in single place, for example, on one deck of a facility or Yi Ge machine workshop section (machine bay) locates or on an equipment.Similarly, equipment can divide into groups by the type of device, for example, for all HVAC unit of facility.
As used herein, business intelligence (Business Intelligence) refers to for extracting, create and/or input the instrument based on software for client's Key Performance Indicator.As used herein, performance index refer to relevant with energy consumption, energy resources management, cost, expenditure etc. and can be used to deep data and/or the variable of understanding energy expenditure and efficiency.Performance index refer to the information that can use in creating, revise, describe and showing load profiles.For example, facility performance index can be the HVAC load profiles of facility, and its facility energy demand that gauge by HVAC unit 11 is measured is combined with the facility energy demand that the gauge 2 by HVAC unit 2 is measured.
As used herein, domain variable refer to for the data in all each territories such as facility territory, energy territory and business domains and variable (such as kilowatt, kilowatt hour etc.).As used herein, territory mapping refers to the performance index translation from a territory to one group of performance index in another territory.For example, service feature index can be the sales volume of every kilowatt hour, and energy performance index can be the demand cost for the centralized lighting system across ten buildings, and facility performance index can be the medial temperature in one section of selling period.
As used herein, apparatus of load profile be with regard to a specific equipment electrical load with respect to the curve of the variation of time.Apparatus of load profile is measured by the power meter on this part equipment.By contrast, load profiles is the electrical force profiles by energy management system user creates and the electrical load relevant to selected domain variable changed with respect to the time.As used herein, the load profiles of storage is only the load profiles being saved.Can create and/or revise various load profiles until one of them load profiles can realize target, thereby become targeted loads profile.As used herein, targeted loads profile is the electronic load profile of based target energy expenditure or other target variables.
The detailed description of some embodiment
Fig. 1 represents sample system 100 of the present disclosure, and it also can be described as energy management system 100.This system 100 comprises computing machine 102, storer 104, computer program 106 and user interface 108.Computer program 106 is stored in storer 104 and by computing machine 102 and carries out to communicate by letter with system user via user interface 108.
Computing machine 102 is also communicated by letter with the facility regional data base 110, energy regional data base 112 and the business domains database 114 that can be mutually exclusive database.Computer program 106 comprises load profiles detector 116 and cost engine 118.Computing machine 102 is also communicated by letter with the load profiles storehouse 120 that comprises load profiles 122.Although Fig. 1 shows one to each of element 102-122, system 100 is for each comprised arbitrary number of element 102-122.
Load profiles detector 116 creates load profiles, input load profile, comparison load profiles and illustrates all comparative results between load profiles with chart.The comparative result of cost engine 118 based on load profiles and based on the difference that assesses the cost such as resource provider information such as complicated timesharing (time-of-use) rates, and cost variance can be decomposed into Cost Driver (cost driver).The load profiles 122 that 120 storages of load profiles storehouse are accessed by system 100.The example in load profiles storehouse 120 is described below with reference to Fig. 3.Load profiles 122 is inputted and is revised by the user of system 100, and is combination and the modification of other load profiles.The example of load profiles 122 is described below with reference to Fig. 2.Computer program 106 can make targeted loads profile synchronize to realize the comparison based on continuous data with the continuous data of component load profiles from this targeted loads profile, and without reconfiguring the equipment that is associated with continuous data.Data and/or the current data of being measured by gauge before continuous data can refer to, by gauge, measured.
Data instance in business domains comprises budget, whole energy conservation target, transaction, cost of business operation, energy cost, demand cost and affairs and energy cost.The data instance can be used as in the basic energy territory of data in business domains comprises such as actual expenditure, idle expenditure, power factor, greatest requirements, quadrature kilovoltampere (kVAr), kilovar-hour (kVArh), power factor, during the basic used time kilowatt, during the middle used time kilowatt, during the secondary peak used time kilowatt, during the used time of peak kilowatt, kilowatt hour during the basic used time, kilowatt hour during the middle used time, kilowatt hour during the secondary peak used time, and the computational datas such as kilowatt hour during the used time of peak.Can be used as data instance in the basic facility territory of data in energy territory comprises raw data such as gauge data, gauge configuration, continuous data, sample frequency, Heating,Ventilating and Air Conditioning (HVAC) (HVAC) data, illumination data, humidity and temperature and controls data such as set point etc.
Computer program 106 makes user can create the targeted loads profile of facility and determines to implement at facility place this targeted loads profile cost efficient whether for this facility, and reconfigure equipment or cost plenty of time without cost substantial contribution, waits until the end of any resource provider metering period.Computer program 106 based on one group of apparatus of load profile or input or establishment baseline load profile, then creates targeted loads profile based on this baseline load profile via user interface 108.For example, user creates baseline load profile for the normal refrigeration energy cost of facility and the normal HVAC energy cost of this facility.User can input this baseline load profile and revise the targeted loads profile that this baseline load profile reconfigures with the suggestion creating for facility refrigeration plant and this facility HVAC equipment.Alternatively, user can also create targeted loads profile to be similar to for creating the mode of baseline load profile.By establishment, be combined with from the continuous data of HVAC load profiles with from the targeted loads profile of the continuous data of refrigeration load profile, computer program 106 can continue unaffected while making operating in of associated HVAC system and refrigeration system make comparison between targeted loads profile based on continuous data of 106 pairs of computer programs and baseline load profile.
Although the load profiles of facility many component load profiles capable of being combined, the example of this simplification only combines the component load profiles of two types.For example, each load profiles of the baseline load profile of facility and/or the targeted loads profile refrigeration system for this facility capable of being combined, HVAC system, illuminator, water system and natural gas system.
Compatible between filing with proof load of the form that computer program 106 can reset load profiles and create baseline load profile and targeted loads profile the two.For example, computer program 106 can to the load profiles for intelligent meter from facility regional data base 110 and from the load profiles reformatting for refrigeration system cost and HVAC system cost of energy regional data base 112 to guarantee that these load profiles can be compatible, thereby realize to these load profiles relatively or realize create baseline load profile on these load profiles basis.
Targeted loads profile can be static load profile or measures elementary load profiles.For example, thus targeted loads profile can be that to take equipment that user reconfigures facility be basic targeted loads profile by measured historical data in specific a day of ad hoc fashion operation.In another embodiment, thus targeted loads profile can be that to take from being reconfigured by the measured current data of equipment of the facility of ad hoc fashion operation by user be basic metering load profiles.
Load profiles detector 116 is by targeted loads profile and the comparison of baseline load profile.For example, 116 pairs of targeted loads profiles of load profiles detector compare with the continuous data from baseline load profile, thereby guarantee that the operation of this facility is unaffected.
Load profiles detector 116 is via the comparative result of user interface 108 export target load profiles and baseline load profile.For example, the calculating that the comparison of load profiles detector 116 based on cost engine 118 use targeted loads profiles and baseline load profile carried out and based on exporting cost variance such as the resource provider information of load time-division charge rate even load profile.
Cost engine 118 can make system user can select to be applied to resource provider information and the rate information of targeted loads profile.For example, resource provider information and rate information that system user can be replaced facility by the resource provider information with selective and selective rate information carry out " supposing (what-if) " sight, to determine whether client can reduce cost by changing resource provider.
Cost engine 118 can resolve into load profiles charging cost factors such as demand, expenditure and penalty cost (penalties cost), comprise timesharing susceptibility, and polymerization load profiles can be resolved into component load profiles and minute other relative demand and cost contribution and cost sensitive degree etc.Load profiles data can be analyzed, decompose or be handled to cost engine 118, to indicate indivedual Cost Drivers of crossing over such as the selected equipment such as HVAC, refrigeration and illuminating lamp, equipment group etc.Described resolution process can be analyzed the load profiles such as appointments such as baseline load profiles, and to indicate which special equipment, place, energy expenditure or timesharing be drive energy cost.For example, the demand based on load, rate etc., it is HVAC equipment that cost engine 118 can be indicated the most significant Cost Driver of facility, and provides and device-dependent cost sensitive degree chart of HVAC etc.
Energy expenditure and/or timesharing that computer program 106 can generate suggestion automatically change to provide target cost to reduce, and via user interface 108 these suggestions of output.For example, computer program 106 can evaluating objects cost, for example-10%, and calculate the suggestion of the load being pulled by HVAC equipment in the whole facility that causes target cost to reduce is reduced, during it causes the business hours, facility temperature was once rising.
The selection of inputting based on user and restriction, computer program 106 can provide the scheme that is applicable to User Priority.For example, facilities management person can specify and will not allow during the business hours temperature change more than a certain temperature as the suggestion reducing costs.Computer program 106 can provide such as the temperature rising during the non-peak hours, alternative suggestions such as minimizing of floor light (floor lighting) and reduce energy cost.Computer program 106 reduces for user provides enough dirigibilities to use data that computer program 106 provides automatically to determine to reach target cost, and without to the change of necessaries or the change to expectation special energy expenditure in abridged from analyze.Computer program 106 also can illustrate not yet to be implemented but can come the entity workshop (physical plant) of modeling or facility to revise by system.For example, facilities management person can select and window adjusting is set at south orientation window or at layer 3, the performance index that high efficiency hvac systems etc. are associated is installed, and computer program 106 can provide the expected cost owing to these changes to change.Obviously, these outputs need the relevant known or public data of efficiency that is associated of input and described entity apparatus.
It is the targeted loads profile that creates of this facility cost efficient whether for this facility that the cost variance of load profiles detector 116 output makes system user can determine to implement at a facility place user, and reconfigure equipment or cost plenty of time without cost substantial contribution, waits until the end of any resource provider metering period.Load profiles detector 116 can be user and provides such as the cost variance between load profiles, selection and historical apparatus of load or demand, load correction, historical load, cost sensitivity, history and expected cost, about the data such as related data of resource provider and rate.Cost sensitivity is the function changing as load profiles, also as expenditure and timesharing or need the cost gradient of the function of integration time.For facility, place, floor, system etc., cost sensitivity can calculate and show for one or one group of equipment.
If computer program 106 prediction expectation costs can not reach, facilities management person simply modifying target load profiles and from cost engine 118 upgraded, revised, the cost output of association.If the estimated cost that computer program 106 generates is different from real cost that can be from resource provider obtains resource bill after, and the cost of expecting not yet reaches, and can be improved this processing.For example, facilities management person can create and comprise the new baseline load profile of extra or distinct device load or make the actual loading of proofreading and correct better computer program 106 is used and modeling is carried out in demand, rate and other data and calculating.Yet, have benefited from computer program 106, for the rate of counting on one's card of estimated cost, be high.
Fig. 2 represents the represented sample framework 200 of user interface 108 in disclosure Fig. 1.Framework 200 comprises location column 202, facility territory row 204, energy territory row 206, business domains row 208, load profiles storehouse row 210, reformatting variable column 212 and load profiles detector row 214.
Location column 202 comprises the row for client XYZ, and it comprises the predetermined row for Northeast Regional, region, the southeast, region, northwest and southwestern region.If selected the predetermined row of Northeast Regional via user interface 108, location column 202 illustrates two predetermined row of city A.If selected the described pair of predetermined row of city A via user interface 108, location column 202 illustrates three predetermined row for facility 1, facility 2 and facility 3.If selected three predetermined row of facility 1 via user interface 108, this selection of computer program 106 reception facilities 1 positions.The selection of variable identifier (identifier) of continuing can be selected based on this position.For example, the selection of computer program 106 three predetermined row of reception facilities 1 in location column 202, in row present corresponding to Northeast Regional city A in 204-208, the variable of facility 1, for selecting, and is identified this position and is selected in the variable column 212 of reformatting.
Facility territory row 204 comprise with from the selected facility 1 of location column 202 corresponding layer 1 and the row of basement.If selected the row of layer 1 via user interface 108, facility territory row 204 can illustrate the predetermined row of intelligent meter 1 and intelligent meter 2.If selected the predetermined row of intelligent meter 1 via user interface 108, facility territory row 204 can illustrate two predetermined row of data and configuration.If selected the row of the basement of facility 1 via user interface 108, facility territory row 204 can illustrate two predetermined row of thermostat (thermostat).If selected two predetermined row of the thermostat of facility 1 via user interface 108, facility territory row 204 can illustrate the data of thermostat and three predetermined row of configuration.If selected three predetermined row of the configuration of thermostat via user interface 108, facility territory row 204 can illustrate four predetermined row of the set point of thermostat.In this example, because computer program 106 receives the selection of the predetermined row of intelligent meter in facility territory row 204, so computer program 106 is identified these selections in reformatting variable column 212.
Energy territory row 206 comprise that refrigeration, HVAC, illumination, water supply, rock gas, facility gather and the row of bill audit (bill audit).If the row of having selected facility to gather via user interface 108, energy territory row 206 illustrate the predetermined row of total cost.In this example, because computer program 106 has received the selection of the row of refrigeration and HVAC at energy territory row 206, so computer program 106 is identified these selections in reformatting variable column 212.
Business domains row 208 comprise the row of cost objective, continuation target, sales volume, saving target and resource provider.If selected the row of continuation target via user interface 108, business domains row 208 can illustrate the predetermined row of CO2 footprint.If selected the row of sales volume via user interface 108, business domains row 208 can illustrate the predetermined row of total sale.If selected the row of cost objective via user interface 108, business domains row 208 can illustrate the predetermined row of budget.If selected to save the row of target via user interface 108, business domains row 208 can illustrate the monthly predetermined row of cost target.If selected the row of resource provider via user interface 108, business domains row 208 can illustrate the predetermined row of energy company (Energy Co).In this example, because computer program 106 has received the monthly selection of the predetermined row of cost target and energy company in business domains row 208, computer program 106 is identified this selection in reformatting variable column 212.
Load profiles storehouse row 210 illustrate the load profiles that user can select via user interface 108, and it can serve as for creating the alternative of targeted loads profile.The example in load profiles storehouse 120 is described below with reference to Fig. 3.
Reformatting variable column 212 comprises quoting aforementioned selection.For example, reformatting variable column 212 is selected as position for the selection that client XYZ illustrates facility 1 in the A of Northeast Regional city, illustrate intelligent meter 1 on 1 layer 1 of facility and 2 costs as variable, the cost that illustrates refrigeration system facility 1 and the HVAC system selected from facility territory as the variable of selecting from energy territory and illustrate monthly save target and energy company resource provider information as the variable of selecting from business domains.
Load profiles detector row 214 can comprise that the text 216 of being inputted via user interface 108 by client is to generate targeted loads profile based on baseline load profile.Alternatively, text 216 can be by computer program 106 relation based between measuring equipment load profiles and automatically generating.Complicated computer program is conventionally by software vendor or employ special home computer language to be write as, and this computer program is compiled into and can before effective language, conventionally needs to wait for that very long SDLC can be written in real time data system (live data system) in effort.By contrast, text 216 can be that to take client can light intelligible plain text be basic client's input, and text 216 can be explained rapidly and be carried out by real time data system, and without compiling or the text can be real time data system use before also without wait.During the development process of significantly accelerating, by eliminating such as software vendor and employing the agents such as expert, computer program 106 creates and for client provides realization, moves the ability of extensibility than the Development Life Cycle of relatively large load profiles by significantly reducing.
In this example, the targeted loads profile that text 216 represents based on to the modification of baseline load profile, targeted loads profile is shown that user creates and the equation of input, and wherein the targeted loads profile of facility 1 is to equal HVAC cost to be multiplied by 2 and to add that refrigeration cost is multiplied by 0.5 cost.For this example, the reconfigurable HVAC equipment of system user and refrigeration plant are to optimize operation and the cost of facility 1.System user can be attempted, by improve operation that the operation of HVAC equipment reduces refrigeration plant simultaneously, facility 1 is reached to the operation demand that 10% cost target maintains facility 1 simultaneously.In this example, system user reconfigures HVAC equipment with pre-cooled facility 1 before peak energy expenditure hour, this can realize the reduction of the operation of refrigeration plant during peak energy expenditure hour, in peak energy expenditure hour, can cause out-of-proportion great amount of cost.At this, reconfigure operating period and by gauge, measured the apparatus of load profile of HVAC equipment and refrigeration plant, cause doubling the HVAC cost of last HVAC cost and half is in the refrigeration cost of last refrigeration cost.If last refrigeration cost is significantly more than last HVAC cost, this equipment reconfigures the reduction target that makes system user can realize operation cost expection 10%.Therefore, system user creates and inputs the potential text reconfiguring 216 of this equipment of reflection.The text 216 can represent static load profile, or the text 216 can represent the continuous data from facility, and whichever all can be described as targeted loads profile.
Text 216 also indicates heavy line to go out the targeted loads profile equation in load profiles detector row 214 with diagrammatic representation.For example, in the middle of the ground indication of the heavy line figure in load profiles detector row 214 one day, targeted loads profile slowly increases, increases fast and then reduce lentamente.
Load profiles detector 214 comprises text 218, and the baseline load profile that its indication performance HVAC load profiles is attached to refrigeration load profile is by solid line diagrammatic representation.For example, in the middle of the ground indication of the solid line figure in load profiles detector row 214 one day, baseline load profile increases fast, almost becomes smooth line, increase and and then increases fast.
Load profiles detector row 214 comprise text 220, the comparison between its indicating target load profiles and baseline load profile by thick dashed line figure represent.For example, the thick dashed line in load profiles detector row 214 indication cost engine 118 calculate one day in the middle of targeted loads profile increase, reduce and and then increase with the cost savings difference between baseline load profile.
Load profiles detector row 214 comprise that indication causes the peak energy expenditure hours 222 of out-of-proportion great amount of cost.Diagram indicating target load profiles in load profiles detector row 214 and baseline load profile are all in complicated time-division charge rate, during peak energy expenditure hours 222, occur maximum cost variance, and targeted loads profile have the peak requirements lower than baseline load profile.
Load profiles detector row 214 comprise cost variance text 224, the cost variance of being calculated by cost engine 118 during represented time period of its indicating graphic.For example, cost variance text 224 indication proposes to dispose by targeted loads profile the few $ 250 of energy cost that the energy cost that shows to facility 1 shows than baseline load profile.In this example, cost engine 118 resolves into by cost variance a plurality of Cost Drivers that expenditure is saved $ 180 and demand saving $ 70.
Load profiles detector 116 can being relatively kept in storehouse for using as cost variance load profiles.For example, computer program 106 can make system user the represented targeted loads profile of text 216 be saved as to one of them of load profiles 122 in load profiles storehouse 120, and will between targeted loads profile and baseline load profile, relatively save as the cost variance load profiles in load profiles storehouse 120.System user continues and can from load profiles storehouse 120, retrieve load profiles 122 for analyzing.For example, system user can from load profiles storehouse 120, retrieve cost variance load profiles as static data with the difference between targeted loads profile and baseline load profile in that day of analyzing load profiles and comparing.In another example, system user can be retrieved cost variance load profiles as continuous data from load profiles storehouse 120, to analyze, retrieves load profiles difference between targeted loads profile and baseline load profile in that day thereafter.
Framework 200 can be the more part of large display screen, and this display screen comprises for user input instruction to make, to edit and to store the region of selection and transform (transform) text.User interface 108 in Fig. 1 can be exported the display screen that comprises Fig. 2 middle frame 200 via the search condition of user interface in Fig. 1 108 input as basic search in response to take.For example, system user can be checked the framework 200 corresponding with the selection of being inputted before and text with request by input search condition.
Fig. 3 represents the represented sample framework 300 of user interface 108 in disclosure Fig. 1.Framework 300 comprises load profiles storehouse 302.System user can instruct computer program 106 input to load profiles the load profiles detector row 214 Fig. 2 from load profiles storehouse 302.
Load profiles storehouse 302 comprise be listed as such as " profile type " row, " location type " row, " position " row, " assets title " row, " combination " row, " profile title " row, " create from " row, " finally revising " and " operation " row and column such as row.302 identifications of load profiles storehouse are used for the load profiles of storing and make system user can retrieve the information of institute's memory load profile.For example, after load profiles storehouse 302 comprises the first row of title of these row, what " profile type " row were specified each load profiles reflection is data or the static historical data of current metering, " location type " row are specified the geographic area of each load profiles, and " position " row are specified the physical location of each load profiles.Continue this example, " assets title " row assignment of allocation is given the equipment of each load profiles, " combination " row specify each load profiles whether to comprise the combination of other load profiles, " profile title " row appointing system user assignment is given the title of each load profiles, " create certainly " system user of each load profiles of row specify creation, and " finally revising " is listed as the time of specifying each load profiles to create.By the respective operations of selecting editor in " operation " is listed as, deletes and export, system user instruct computer program 106 is edited corresponding load profiles, the corresponding load profiles of deletion or is exported corresponding load profiles.
Because the framework 200-300 in Fig. 2 to Fig. 3 is sample respectively, and framework 200-300 may alter a great deal in appearance.For example, the relative size of row and column and location for of the present disclosure put into practice unimportant.Framework 200-300 can illustrate by any visual display unit, but preferably with computer screen, illustrates.Framework 200-300 can also be output as report and be printed, or preserves into such as electronic formats such as portable document files (portable document file, PDF).Framework 200-300 can be the part of personal computer system and/or network, and by local, by network and/or at the system data receiving on the Internet, operate.Framework 200-300 can be navigated by user.Conventionally, user can adopt touch-screen input or mouse input device to click the position on framework 200-400, thereby the text on Governance framework 200-300, such as making user pull text and the text is put in reformatting variable column 212 from least some that are listed as 202-210.Alternatively, user can adopt trafficator or such as other input medias such as keyboards.The text that framework 200-300 illustrates is example, because framework 200-300 can comprise more substantial text far away.
Fig. 4 represents Sample Method 400 of the present disclosure.Energy management system 100 executing methods 400 in Fig. 1 be take and determined that at a facility place, implementing user is the targeted loads profile that creates of this facility cost efficient whether for this facility, and reconfigure equipment or cost plenty of time without cost substantial contribution, wait until the end of any resource provider metering period.
In frame 402, input baseline load profile, wherein this baseline load profile is based on apparatus of load profile group.For example, the baseline load profile of computer program 106 120 entry devices 1 from load profiles storehouse.Alternatively, computer program 106 can make the user can be by selecting one group of apparatus of load profile to create the baseline load profile of facility 1.
In frame 404, the selection based on baseline load profile is revised and is generated targeted loads profile.For example, computer program 106 receives the targeted loads profile with establishment facility 1 to the selection of the modification of the baseline load profile of facility 1 from user, and the text 216 in Fig. 2 represents.
In frame 406, by targeted loads profile and the comparison of baseline load profile.For example, computer program 106 is the baseline load profile comparison of the current continuous data of the targeted loads profile of the static data of facility 1 and facility 1, and without the operation that affects equipment in facility 1.
In frame 408, the comparative result of export target load profiles and baseline load profile.For example, the load profiles detector row 214 in computer program 106 output maps 2, its indication can calculate proposes by user to be that the targeted loads profile that facility 1 creates is implemented on facility 1 for saving 250 the same day.
Method 400 can optionally repeat.Although the disclosure has been described the frame 402-408 carrying out with particular order, the order that frame 402-408 can be different is carried out.
System in above-described embodiment, method and computer program are exemplary.Therefore, do not show and do not describe many details yet.Even if stated together several features of disclosure embodiment in instructions in conjunction with the details of disclosure 26S Proteasome Structure and Function above, but the disclosure is schematic, thereby in the disclosure principle that the broad sense of the term that can use in appended claims is fully indicated, from details, change, especially at the aspects such as shape, size and configuration of assembly.The instructions of concrete example and accompanying drawing do not point out that how to the infringement of this patent can be above, but will provide at least one how to carry out and use explanation of the present disclosure.In the restriction of disclosure embodiment and the boundary of patent protection claims later, estimated and defined.
With regard to each side, be incorporated herein by reference below: Burke is issued to the U.S. Patent application that June 7, sequence number in 2011 are 13/155,222; Burke is filed in the U.S. Patent application that August 26, sequence number in 2011 are 13/219,361; Burke is filed in the U.S. Patent application that September 1, sequence number in 2011 are 13/223,632; The name that Burke meanwhile submits to is called the U.S. Patent application of " cost savings (Estimating and Optimizing Cost Savings for Large Scale Deployments using Load Profile Optimization) that large scale deployment is estimated and optimized in the optimization of working load profile "; The name that Burke meanwhile submits to is called the U.S. Patent application of " in energy management system, dynamic labels is to create logical model and to optimize buffer memory (Dynamic Tagging To Create Logical Models and Optimize Caching in Energy Management Systems) "; And the name that Burke meanwhile submits to is called the U.S. Patent application of " load profiles management and cost sensitive degree analysis (Load Profile Management and Cost Sensitivity Analysis) ".
Claims (20)
1. for a system for load profiles management and cost sensitivity analysis, comprising:
Computing machine;
Storer;
User interface; And
Computer program, be stored in described storer and can by described computing machine carry out with:
Via described user interface input baseline load profile, wherein said baseline load profile is based on one group of apparatus of load profile;
Selection via described user interface based on to described baseline load profile is revised, and generates targeted loads profile;
More described targeted loads profile and described baseline load profile; And
Via described user interface, export the comparative result of described targeted loads profile and described baseline load profile.
2. the system as claimed in claim 1, also comprises that the described one group of apparatus of load profile based on selecting generates described baseline load profile.
3. the system as claimed in claim 1, wherein said targeted loads profile is static load profile, and the wherein said baseline load profile load profiles that is current metering.
4. the system as claimed in claim 1, the load profiles that wherein said targeted loads profile is current metering, and the described baseline load profile load profiles that is current metering.
5. the system as claimed in claim 1, wherein said comparative result comprises the cost variance of the comparative result based on described targeted loads profile and described baseline load profile.
6. the system as claimed in claim 1, wherein exports described comparative result and comprises that, with graphic drawing comparison component, described relatively component comprises the comparative result during the time period.
7. for a computer implemented method for load profiles management and cost sensitivity analysis, said method comprising the steps of:
By the computer program that is stored in storer and is carried out by computing machine, via user interface, input baseline load profile, wherein said baseline load profile is based on one group of apparatus of load profile;
By described computer program, based on the selection of described baseline load profile is revised, generate targeted loads profile;
By the more described targeted loads profile of described computer program and described baseline load profile;
Comparative result by described computer program based on described targeted loads profile and the described baseline load profile difference that assesses the cost; And
By described computer program, via described user interface, export described cost variance.
8. computer implemented method as claimed in claim 7, also comprises that the described one group of apparatus of load profile based on selecting generates described baseline load profile.
9. computer implemented method as claimed in claim 7, each in wherein said targeted loads profile and described baseline load profile is the load profiles of current metering.
10. computer implemented method as claimed in claim 7, wherein calculates resource provider information and rate information that described cost variance comprises that use is associated with described baseline load profile.
11. computer implemented methods as claimed in claim 7, wherein calculate described cost variance and comprise resource provider information and the rate information that makes user can select to be applied to described targeted loads profile.
12. computer implemented methods as claimed in claim 7, wherein calculating described cost variance is the time-division charge rate based on complicated.
13. computer implemented methods as claimed in claim 7, wherein calculate described cost variance and comprise described cost variance is resolved into a plurality of Cost Drivers.
14. computer implemented methods as claimed in claim 7, wherein export described cost variance and comprise that, with graphic drawing cost variance component, described cost variance component comprises the cost variance during the time period.
15. computer implemented methods as claimed in claim 7, wherein export described cost variance and comprise described comparative result is stored in a storehouse to be used as cost variance.
16. 1 kinds of computer programs for load profiles management and cost sensitivity analysis, described computer program comprises:
Computer-readable recording medium, storage computer executable program code, the method that when being carried out by processor, described computer executable program code is comprised the following steps:
Via user interface input baseline load profile, wherein said baseline load profile is the apparatus of load profile based on one group of current metering;
Selection based on to described baseline load profile is revised, and generates targeted loads profile;
More described targeted loads profile and described baseline load profile, wherein said baseline load profile is synchronizeed with the apparatus of load profile of described one group of current metering; And
Via described user interface, export the comparative result of described targeted loads profile and described baseline load profile.
17. computer programs as claimed in claim 16, also comprise that the described one group of apparatus of load profile based on selecting generates described baseline load profile.
18. computer programs as claimed in claim 16, wherein said targeted loads profile is the load profiles of current metering.
19. computer programs as claimed in claim 16, wherein said targeted loads profile is one of them based on system user institute's input text and calculating, and described calculating is the measurement of the metering component load profiles based on being made by described computer executable program code.
20. computer programs as claimed in claim 16, wherein said comparative result comprises the cost variance of the comparative result based on described targeted loads profile and described baseline load profile.
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| US201161530646P | 2011-09-02 | 2011-09-02 | |
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| PCT/US2012/053496 WO2013033619A2 (en) | 2011-09-02 | 2012-08-31 | Load profile management and cost sensitivity analysis |
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| US7650015B2 (en) | 1997-07-22 | 2010-01-19 | Image Processing Technologies. LLC | Image processing method |
| US20130232151A1 (en) * | 2012-03-05 | 2013-09-05 | Green Charge Networks Llc | Aggregation of Load Profiles for Consumption Management Systems |
| CN104334975B (en) * | 2012-06-26 | 2017-05-03 | 三菱电机株式会社 | Air conditioner control system |
| US20150058061A1 (en) * | 2013-08-26 | 2015-02-26 | Magdy Salama | Zonal energy management and optimization systems for smart grids applications |
| US10185313B2 (en) | 2016-04-20 | 2019-01-22 | Applied Materials, Inc. | Eco-efficiency characterization tool |
| US11009898B2 (en) * | 2016-12-23 | 2021-05-18 | Marc Zuluaga | Thermal energy usage metering system for steam-heated multiple unit building |
| US10999652B2 (en) | 2017-05-24 | 2021-05-04 | Engie Storage Services Na Llc | Energy-based curtailment systems and methods |
| US10658841B2 (en) | 2017-07-14 | 2020-05-19 | Engie Storage Services Na Llc | Clustered power generator architecture |
| EP3579175A1 (en) * | 2018-06-07 | 2019-12-11 | Siemens Aktiengesellschaft | Method for sensitivity analysis of an optimised energy system |
| US11594884B2 (en) | 2018-07-02 | 2023-02-28 | Enel X North America, Inc. | Site controllers of distributed energy resources |
| US11068820B2 (en) * | 2018-12-06 | 2021-07-20 | International Business Machines Corporation | Avoiding peak energy demand times by managing consumer energy consumption |
| CN110472826B (en) * | 2019-07-09 | 2022-11-18 | 大连理工大学 | Gradient hydropower station load change real-time self-adaption method considering daily electric quantity deviation |
| CN115630753B (en) * | 2022-12-19 | 2023-03-03 | 西南交通大学 | Load baseline prediction method for electrolytic hydrogen production based on new energy multi-space-time scene |
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| US6757591B2 (en) * | 2000-08-11 | 2004-06-29 | Robert A. Kramer | Energy management system and methods for the optimization of distributed generation |
| US7992630B2 (en) * | 2001-03-12 | 2011-08-09 | Davis Energy Group, Inc. | System and method for pre-cooling of buildings |
| JP2003050626A (en) * | 2001-08-08 | 2003-02-21 | Pure Spirits:Kk | Energy control system with function of navigation conservation |
| JP2003319556A (en) * | 2002-04-18 | 2003-11-07 | Daikin Ind Ltd | Targeted power controller and targeted power control method |
| EP1593072A2 (en) * | 2003-02-07 | 2005-11-09 | Power Measurement Ltd | A method and system for calculating and distributing utility costs |
| EP1854064A4 (en) * | 2005-01-18 | 2009-03-25 | Mc Energy Inc | Method and system for tracking and budgeting energy usage |
| US8543343B2 (en) * | 2005-12-21 | 2013-09-24 | Sterling Planet, Inc. | Method and apparatus for determining energy savings by using a baseline energy use model that incorporates an artificial intelligence algorithm |
| AU2007254482A1 (en) * | 2006-03-24 | 2007-11-29 | Rtp Controls | Method and apparatus for controlling power consumption |
| IES20070332A2 (en) * | 2006-05-03 | 2007-11-14 | Lightwave Technologies Ltd | A method of optimising energy consumption |
| US7636666B2 (en) * | 2006-07-31 | 2009-12-22 | Van Putten Mauritius H P M | Gas-energy observatory |
| US8855829B2 (en) * | 2007-01-03 | 2014-10-07 | Gridpoint, Inc. | Method for controlling energy resources |
| JP2010204943A (en) * | 2009-03-03 | 2010-09-16 | Toko Electric Corp | Energy monitoring system |
| US9020647B2 (en) * | 2009-03-27 | 2015-04-28 | Siemens Industry, Inc. | System and method for climate control set-point optimization based on individual comfort |
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